A branch-&-price approach to the unrooted maximum agreement forest problem

Fuente: arXiv
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Main Authors: Frohn, Martin, Kelk, Steven, Vychytilova, Simona
Format: Preprint
Published: 2024
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author Frohn, Martin
Kelk, Steven
Vychytilova, Simona
author_facet Frohn, Martin
Kelk, Steven
Vychytilova, Simona
contents We propose the first branch-&-price algorithm for the maximum agreement forest problem on unrooted binary trees: given two unrooted X-labelled binary trees we seek to partition X into a minimum number of blocks such that the induced subtrees are disjoint and have the same topologies in both trees. We provide a dynamic programming algorithm for the weighted maximum agreement subtree problem to solve the pricing problem. When combined with rigorous polynomial-time pre-processing our branch-&-price algorithm exhibits (beyond) state-of-the-art performance.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04122
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A branch-&-price approach to the unrooted maximum agreement forest problem
Frohn, Martin
Kelk, Steven
Vychytilova, Simona
Data Structures and Algorithms
Optimization and Control
Populations and Evolution
We propose the first branch-&-price algorithm for the maximum agreement forest problem on unrooted binary trees: given two unrooted X-labelled binary trees we seek to partition X into a minimum number of blocks such that the induced subtrees are disjoint and have the same topologies in both trees. We provide a dynamic programming algorithm for the weighted maximum agreement subtree problem to solve the pricing problem. When combined with rigorous polynomial-time pre-processing our branch-&-price algorithm exhibits (beyond) state-of-the-art performance.
title A branch-&-price approach to the unrooted maximum agreement forest problem
topic Data Structures and Algorithms
Optimization and Control
Populations and Evolution
url https://arxiv.org/abs/2410.04122